NDLI: Dual contouring with topology-preserving simplification using enhanced cell representation

Content Provider	IEEE Xplore Digital Library
Author	Nan Zhang Wei Hong Kaufman, A.
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY, USA (Nan Zhang; Wei Hong; Kaufman, A.)
Abstract	We present a fast, topology-preserving approach for isosurface simplification. The underlying concept behind our approach is to preserve the disconnected surface components in cells during isosurface simplification. We represent isosurface components in a novel representation, called enhanced cell, where each surface component in a cell is represented by a vertex and its connectivity information. A topology-preserving vertex clustering algorithm is applied to build a vertex octree. An enhanced dual contouring algorithm is applied to extract error-bounded multiresolution isosurfaces from the vertex octree while preserving the finest resolution isosurface topology. Cells containing multiple vertices are properly handled during contouring. Our approach demonstrates better results than existing octree-based simplification techniques.
Starting Page	505
Ending Page	512
File Size	588615
Page Count	8
File Format	PDF
ISBN	0780387880
DOI	10.1109/VISUAL.2004.27
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Isosurfaces Topology Clustering algorithms Data mining Computer graphics Computer science Computer errors Chromium Data structures Data visualization vertex clustering isosurface simplification isosurface extraction topology preservation
Content Type	Text
Resource Type	Article

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